code: def test_bbox_crop():
      from mxnet.gluon.contrib.data.vision.transforms.bbox import (
          ImageBboxCrop,
      )
  
      transform = ImageBboxCrop((0, 0, 3, 3))
      img = mx.np.ones((10, 10, 3), dtype="uint8")
      bbox = mx.np.array([[0, 1, 3, 4, 0]])
      im_out, im_bbox = transform(img, bbox)
      assert im_out.shape == (3, 3, 3)
      assert im_bbox[0][2] == 3
  
imports: import os
  from collections import namedtuple
  from uuid import uuid4
  import numpy
  import mxnet
  from mxnet import gluon, autograd, np, npx
  from mxnet.test_utils import use_np, assert_almost_equal, check_gluon_hybridize_consistency, same, check_symbolic_backward
  from common import assertRaises, xfail_when_nonstandard_decimal_separator
  import random
  from mxnet.base import MXNetError
  from mxnet.gluon.data.vision import transforms
  from mxnet import image
  import pytest
label_desc: Use image node_id 16 for calling a global function with example usage: test_bbox_crop() without return types